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Skip search results from other journals and go to results- 1354 Journal of Medical Internet Research
- 547 JMIR Research Protocols
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Public Involvement in Cancer Research: Collaborative Evaluation Using Photovoice
JMIR Cancer 2025;11:e75741
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Regular physical activity conferred the second-greatest survival benefit in the general population [30], which was consistent with prior reports by Li et al [32]; while dietary quality (HR 0.88, 95% CI 0.82‐0.94 in men; HR 0.97, 95% CI 0.90‐1.05 in women) and excessive alcohol intake (HR 0.95, 95% CI 0.89‐1.01 in men; HR 1.03, 95% CI 0.94‐1.12 in women) had weaker associations with mortality [30].
JMIR Aging 2025;8:e65374
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Primary and secondary outcomes for the smartphone study
aa RR: adjusted risk ratio.
b TM: text messaging.
c Not available.
d PN: patient navigation.
Primary and secondary outcomes for the nonsmartphone study.
aa RR: adjusted risk ratio.
b Not available.
c PN: patient navigation.
J Med Internet Res 2025;27:e74145
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Li and Guo [12] constructed a set of online medical service quality indicators for public hospitals in China from the perspective of online and offline integration. The primary indicators and their weights are outcome quality (0.34), process quality (0.26), structure quality (0.22), and integration quality (0.18). Despite the rapid expansion of internet hospitals, existing evaluation frameworks primarily assess service quality and patient satisfaction.
J Med Internet Res 2025;27:e72931
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(A)Vanilla AE;(B)Contractive AE;(C) Denoising AE;(D) Sparse AE; and(E) Robust AE. MCC: maximum correntropy criterion; MSE: mean squared error.
Here, X denotes the input data, and X` represents the reconstructed data. Z is the output of the latent representation produced by the encoder. W, W`, b, and b` are the weights and biases of the encoder and decoder, while ϕ1 and ϕ2 are activation functions.
JMIR Med Inform 2025;13:e68830
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Probabilistic principal component analysis was used to impute continuous variables with missing values
Patient selection flowcharts for four international cohorts used in this study: (A) MIMIC-IV (N=70,370), (B) e ICU-CRD (N=112,457), (C) Yantai Yuhuangding Hospital affiliated with Qingdao University (N=4653), and (D) Sichuan Zigong Fourth People’s Hospital (N=1982). Detailed inclusion and exclusion criteria are provided in e Text 1 in Multimedia Appendix 1.
J Med Internet Res 2025;27:e70118
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In equation 1, we have N fine-tuned LLMs, where the predicted value for LLMi is denoted by Ci , N=10, and c represents all classes of the TCM formula. 1(Ci=c) is the indicator function, equal to 1 if Ci=c, and 0 otherwise. The final prediction result yhard is determined by selecting the class with the highest number of votes.
In equation 2, αi represents the average accuracy of each LLM, the votes for each LLM are multiplied by the corresponding weights, and the resulting weighted votes are summed.
JMIR Med Inform 2025;13:e69286
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